METHOD FOR PERSONALIZED ALERTS FOR ALTERNATIVE SERVICE OFFERINGS BASED ON PERSONALIZED USAGE PROFILES IN A CHANGING MARKET

• US 20100183132A1
• Filed: 07/31/2009
• Published: 07/22/2010
• Est. Priority Date: 01/21/2009
• Status: Abandoned Application

• Current Assignee: Truaxis, Inc. (MasterCard Incorporated)
• Original Assignee: Truaxis, Inc. (MasterCard Incorporated)
• Inventors: Perumal, Saravana, Kothari, Samir, Satyavolu, Ramakrishna V.
• Application Number:
  US12/533,120
• Publication Number:
  US 20100183132A1
• Time in Patent Office: Days
• US Class Current: 379/114.100
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 20/102 Bill distribution or payments
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 40/12 Accounting
• CPC Class Codes: H04M 15/00 Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
• CPC Class Codes: H04M 15/44 Augmented, consolidated or itemized billing statement or bill presentation
• CPC Class Codes: H04M 15/58 based on statistics of usage or network monitoring
• CPC Class Codes: H04M 15/745 Customizing according to wishes of subscriber, e.g. friends or family
• CPC Class Codes: H04M 15/80 Rating or billing plans; Tariff determination aspects
• CPC Class Codes: H04M 15/8011 using class of subscriber
• CPC Class Codes: H04M 15/8044 Least cost routing
• CPC Class Codes: H04M 15/805 Bidding
• CPC Class Codes: H04M 15/8083 involving reduced rates or discounts, e.g. time-of-day reductions or volume discounts
• CPC Class Codes: H04M 15/83 Notification aspects
• CPC Class Codes: H04M 15/84 Types of notifications
• CPC Class Codes: H04M 15/85 characterised by the type of condition triggering a notification
• CPC Class Codes: H04M 15/851 Determined tariff
• CPC Class Codes: H04M 2215/0104 Augmented, consolidated or itemised billing statement, e.g. additional billing information, bill presentation, layout, format, e-mail, fax, printout, itemised bill per service or per account, cumulative billing, consolidated billing
• CPC Class Codes: H04M 2215/0108 : Customization according to wishes of subscriber, e.g. customer preferences, friends and family, selecting services or billing options, Personal Communication Systems [PCS]
• CPC Class Codes: H04M 2215/018 : On-line real-time billing, able to see billing information while in communication, e.g. via the internet
• CPC Class Codes: H04M 2215/0184 : involving reduced rates or discounts, e.g. time-of-day reductions, volume discounts, cell discounts, group billing, frequent calling destination(s) or user history list
• CPC Class Codes: H04M 2215/0188 : Network monitoring; statistics on usage on called/calling number
• CPC Class Codes: H04M 2215/74 : Rating aspects, e.g. rating parameters or tariff determination apects
• CPC Class Codes: H04M 2215/7407 : class of subscriber
• CPC Class Codes: H04M 2215/745 : Least cost routing, e.g. Automatic or manual, call by call or by preselection
• CPC Class Codes: H04M 2215/7457 : Biding
• CPC Class Codes: H04M 2215/81 : Notifying aspects, e.g. notifications or displays to the user
• CPC Class Codes: H04M 2215/8129 : Type of notification
• CPC Class Codes: H04M 2215/815 : Notification when a specific condition, service or event is met

Abstract

Comparing service plans based on a user'"'"'s usage data may include collecting and analyzing service usage and reward earnings data for a user'"'"'s current service to obtain a normalized service usage and rewards dataset, normalizing data related to a plurality of alternative service offerings according to a normalized alternative service offering model, applying the model to the normalized service usage and rewards dataset to produce a plurality of alternative service offering normalized datasets, comparing the alternative service offering normalized datasets to the normalized usage dataset according to at least one element of the datasets to determine if an alternative service offering is better than the user'"'"'s current service, repeating the process periodically to determine on an updated basis which alternative service offering is better than the user'"'"'s current service, and alerting the user when an alternative service offering that is better than the user'"'"'s current service is available.

Claims

1. A machine readable medium, the machine readable medium having program instructions stored thereon for comparing service plans based on a user'"'"'s usage data executable by a processing unit, the program instructions comprising the steps of:

collecting at least one of predicted and past service usage and reward earnings data for a user'"'"'s current service using a computer implemented facility;

analyzing the service usage and rewards earnings data to obtain a normalized service usage and rewards dataset;

normalizing data related to a plurality of alternative service offerings according to a normalized alternative service offering model;

applying the normalized alternative service offering model to the normalized service usage and rewards dataset to produce a plurality of alternative service offering normalized datasets;

comparing the alternative service offering normalized datasets to the normalized usage dataset according to at least one element of the datasets to determine if an alternative service offering is better than the user'"'"'s current service;

repeating said collecting, analyzing, normalizing, applying and comparing periodically to determine on an updated basis which alternative service offering is better than the user'"'"'s current service; and

alerting the user when an alternative service offering that is better than the user'"'"'s current service is available.